share-research-api

Research

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Discover open access research outputs via the SHARE notification API

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Source SKILL.md: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/HEAD/skills/43-wentorai-research-plugins/skills/literature/search/share-research-api/SKILL.md

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SHARE Research API

Overview

SHARE (SHared Access Research Ecosystem) aggregates metadata from 200+ research repositories, preprint servers, and publishers into a unified search API. Operated by the Center for Open Science, it tracks research outputs as they move through the scholarly communication cycle — from preprint to publication. Free, no authentication for search.

API Endpoints

Base URL

https://share.osf.io/api/v2

Search

# Text search across all sources
curl "https://share.osf.io/api/v2/search/creativeworks/?q=climate+change&page[size]=20"

# Filter by type
curl "https://share.osf.io/api/v2/search/creativeworks/?q=neural+networks&filter[type]=preprint"

# Filter by source
curl "https://share.osf.io/api/v2/search/creativeworks/?q=genomics&filter[sources]=PubMed+Central"

# Filter by date
curl "https://share.osf.io/api/v2/search/creativeworks/?q=COVID-19&filter[date][gte]=2024-01-01"

# Filter by tag/subject
curl "https://share.osf.io/api/v2/search/creativeworks/?q=machine+learning&filter[tags]=deep+learning"

Query Parameters

Parameter	Description	Example
`q`	Search query	`q=CRISPR`
`filter[type]`	Output type	`preprint`, `article`, `dataset`, `thesis`
`filter[sources]`	Source repository	`PubMed Central`, `arXiv`, `Zenodo`
`filter[date][gte]`	From date	`2024-01-01`
`filter[date][lte]`	Until date	`2026-12-31`
`filter[tags]`	Tag filter	`open+data`
`page[size]`	Results per page	`page[size]=50`
`sort`	Sort order	`-date_updated`

Available Sources (200+)

Source	Type
arXiv	Preprints
PubMed Central	Biomedical articles
Zenodo	Multi-discipline repository
Figshare	Data/figures
SSRN	Social science preprints
DataCite	Research data
Institutional repositories	Various

Python Usage

import requests

BASE_URL = "https://share.osf.io/api/v2"


def search_share(query: str, output_type: str = None,
                 source: str = None,
                 from_date: str = None,
                 page_size: int = 20) -> list:
    """Search SHARE for research outputs."""
    params = {"q": query, "page[size]": page_size}
    if output_type:
        params["filter[type]"] = output_type
    if source:
        params["filter[sources]"] = source
    if from_date:
        params["filter[date][gte]"] = from_date

    resp = requests.get(
        f"{BASE_URL}/search/creativeworks/",
        params=params,
    )
    resp.raise_for_status()
    data = resp.json()

    results = []
    for item in data.get("data", []):
        attrs = item.get("attributes", {})
        results.append({
            "title": attrs.get("title"),
            "description": (attrs.get("description") or "")[:300],
            "type": attrs.get("type"),
            "date": attrs.get("date_updated", "")[:10],
            "sources": attrs.get("sources", []),
            "tags": attrs.get("tags", []),
            "identifiers": attrs.get("identifiers", []),
        })
    return results


# Example: find recent preprints on a topic
preprints = search_share(
    "transformer architecture",
    output_type="preprint",
    from_date="2024-01-01",
)
for p in preprints[:5]:
    print(f"[{p['date']}] {p['title']}")
    print(f"  Type: {p['type']} | Sources: {', '.join(p['sources'][:3])}")